DYNAMICAL WEAR PREDICTION ALONG MESHING PATH IN MIXED LUBRICATION OF SPIRAL BEVEL GEARS


Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media

Security agencies face an emerging challenge of identifying and counter the malicious contents spread on the social media by the terrorists.However, text classification techniques are limited by visualization, pre-processing, features extraction, and larger features space.Additionally, change in criminal content require the learning models to ident

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Logistics Distribution Optimization of Hazardous Chemicals and Construction of Cloud Service Platform Based on Genetic Algorithm

As a cloud computing-based, service-oriented new logistics service model, cloud logistics service (CLS) has gradually become one of the main directions for logistics development.In view of the efficient integration and optimization problem of massive task requirements and massive resources under the CLS platform, this paper constructs a cooperative

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